apply-pr

v3.4.8 suspicious
4.0
Medium Risk

Apply Pull Requests from GitHub

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly with its network calls and sparse metadata, suggesting it might warrant closer scrutiny.

  • Network risk at 4/10
  • Low metadata completeness
Per-check LLM notes
  • Network: The observed network calls may be part of the package's intended functionality, such as fetching user information or repository details from GitHub API, but further investigation is needed to confirm.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low risk but requires further investigation due to the author having only one package and lack of PyPI classifiers.

📦 Package Quality Overall: Low (3.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in gisce/apply_pr
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • # NO GIS NO FACT r = requests.get(url, headers=headers) pull = json.loads(r.text) tota
  • ={}".format(page) r = requests.get(new_url, headers=headers) pull = json.loads(r.text)
  • try: r = requests.get(p_url, headers=headers) pull_desc = json.loa
  • api.github.com/user" r = requests.get(url, headers=headers) return r.status_code == 200 def
  • J" device_code_response = requests.post( "https://github.com/login/device/code", dat
  • val) token_response = requests.post( "https://github.com/login/oauth/access_token",
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gisce.net

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository gisce/apply_pr appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "GISCE-TI, S.L." appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apply-pr 
Your task is to develop a command-line utility called 'PR Manager' using Python, which will streamline the process of managing and applying Pull Requests (PRs) from a GitHub repository. This tool will leverage the 'apply-pr' package to fetch and apply PRs efficiently. Here are the detailed steps and features you need to implement:

1. **Setup**: Initialize your project with the necessary dependencies, including the 'apply-pr' package. Ensure you have a way to authenticate with GitHub via OAuth tokens.
2. **Command Line Interface (CLI)**: Create a user-friendly CLI where users can specify the GitHub repository they want to work with and the specific PR numbers they wish to manage.
3. **Fetch PR Details**: Implement functionality to fetch details of specified PRs, such as title, description, author, and status. Display these details in a readable format.
4. **Apply PRs**: Use the 'apply-pr' package to apply the selected PRs directly to a local clone of the repository. Handle conflicts gracefully and provide options to merge or rebase as needed.
5. **Review Changes Locally**: Allow users to review changes locally before committing them. Provide an option to stage and commit changes manually.
6. **Push Changes**: After reviewing and confirming the changes, provide an option to push the updated code back to the original repository or a forked one.
7. **Logging and Error Handling**: Implement logging to keep track of actions taken and errors encountered during the process. Ensure robust error handling to guide users through potential issues.
8. **Optional Features**:
   - Support for multiple repositories and PRs at once.
   - Integration with GitHub webhooks for real-time updates on PR statuses.
   - A GUI interface alongside the CLI for those who prefer visual interaction.
9. **Documentation**: Write comprehensive documentation detailing installation, configuration, and usage of the 'PR Manager'. Include examples and best practices.

Ensure your implementation is modular and follows best coding practices. Your goal is to create a tool that makes it easier for developers to manage and integrate external contributions into their projects seamlessly.

💬 Discussion Feed

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